4 hours ago
Berlin, GermanyMid Level
Responsibilities
- Own applied AI automation use cases from enterprise customer discovery through production deployment.
- Translate ambiguous customer problems into scoped, buildable solutions and ship them quickly.
- Build LLM, agentic workflow, vision model, and embedding-based solutions.
- Design and implement data pipelines for document ingestion, extraction, validation, and orchestration.
- Identify recurring patterns and codify them into reusable templates.
- Balance speed, accuracy, and pragmatism while keeping humans in the loop where appropriate.
- Travel to customer sites and work directly with German enterprise stakeholders.
- Help shape the technical direction of the product and company as a founding-team engineer.
Requirements
- At least 2 years of experience as a software engineer or data scientist building production systems.
- Hands-on experience deploying applied AI solutions involving LLMs, agentic workflows, vision models, and embeddings in production.
- Strong computer science fundamentals from a degree or clearly equivalent formal grounding.
- Full-stack capability with backend API development in Node.js/TypeScript or Python and frontend development in TypeScript/React or similar.
- Experience designing data pipelines for document processing, extraction, and validation workflows.
- Experience working with unstructured data, vector databases, and semantic search.
- Experience integrating multiple LLM providers such as OpenAI, Azure, Gemini, or Cohere, plus solid prompt engineering skills.
- B2B experience, ideally in a customer-facing technical role with direct enterprise engagement.
- Experience in an early-stage startup or founding-team environment.
- C1-level German proficiency or above.
- Familiarity with domain ontologies, knowledge graphs, or construction industry workflows is a bonus.
Benefits
- Annual salary range of 72,000 to 100,000 EUR.
- On-site work in Berlin, Germany, five days per week.
- Occasional travel to customer sites across the region.
- Visa sponsorship is not available for this role.
Tech Stack
Categories
Forward Deployed